On ranking the effectiveness of searches

Proceedings of the Twenty-Ninth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn 2006, Issue , 2006, Pages 398-404

  Vinay, Vishwa ^a   Cox, Ingemar J ^a   Milic Frayling, Natasa ^b   Wood, Ken ^b  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b MICROSOFT RESEARCH   (United Kingdom)

Author keywords

Query performance prediction

Indexed keywords

CORRELATION THEORY; ELECTRONIC DOCUMENT EXCHANGE; INFORMATION RETRIEVAL; PERTURBATION TECHNIQUES; QUERY LANGUAGES; CLUSTER ANALYSIS; INFORMATION RETRIEVAL SYSTEMS; KNOWLEDGE ACQUISITION; QUERY PROCESSING;

COX-LEWIS STATISTIC; DOCUMENT SETS; QUERY PERFORMANCE PREDICTION; QUERY PERTURBATION;

INFORMATION ANALYSIS; SEARCH ENGINES;

QUERY PERFORMANCE PREDICTION; QUERY PERTURBATION; TREC;

EID: 33750306680     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1148170.1148239     Document Type: Conference Paper

References (11)

1. E. Yom-Tov, S. Fine, D. Carmel and A. Darlow. Learning to estimate query difficulty: including applications to missing content detection and distributed information retrieval. In Proceedings of the 28th Annual international ACM SIGIR Conference on Research and Development in Information Retrieval. Salvador, Brazil, 2005
2. S. Cronen-Townsend, Y. Zhou and B. Croft. Predicting Query Performance. Proceedings of the 25th Annual International ACM SIGIR conference on Research and Development in Information Retrieval. Tampere, Finland, 2002
3. th European Conference on Information Retrieval. Sunderland, Great Britain, 2004
4. B. He and I. Ounis. Inferring Query Performance Using Pre-retrieval Predictors. In Proceedings of the 11th Symposium on String Processing and Information Retrieval, Padova, Italy, 2004
5. C. J. van Rijsbergen. Information Retrieval. Butterworths, London, Second Edition, 1979
6. A. K. Jain and R. C. Dubes. Algorithms for Clustering Data. Prentice-Hall Advanced Reference Series, Year: 1988
7. T. F. Cox and T. Lewis. A conditional distance ratio method for analyzing spatial patterns. Biometrika 63, 483-491, 1976
8. A. Tombros and C.J. van Rijsbergen. Query-sensitive similarity measures for Information Retrieval. Invited paper, Knowledge and Information Systems, 2004
9. K. Fukunaga and D.R. Olsen. An Algorithm for finding intrinsic dimensionality of data. IEEE Transactions on Computers, C-20(2), pp. 176-183, 1971
10. T. P. Minka. Automatic Choice of Dimensionality for PCA. MIT Media Laboratory Perceptual Computing Section Technical Report No. 514
11. The Lemur Toolkit for Language Modeling and Information Retrieval, http://www.lemurproject.org/.